Results 1 to 10 of about 2,350 (166)
Hydrological application of radar rainfall nowcasting in the Netherlands
Environment International, 2020 Accurate and robust short-term rainfall forecasts (nowcasts) are useful in operational flood forecasting. However, the high temporal and spatial variability of rainfall fields make rainfall nowcasting a challenging endeavour.
Remko Uijlenhoet +2 more
exaly +3 more sources
Composite GDP nowcasting using macroeconomic variables and electricity data. [PDF]
PLoS ONEAccurate and timely forecasting of the gross domestic product (GDP), known as "nowcasting", is crucial for macroeconomic regulation. In this paper, we propose a composite GDP nowcasting model that combines predictions from a dynamic factor model using ...
Zhiqiang Lan, Zidi Liu, Guoyao Wu
doaj +2 more sources
ThoR: A Motion-Dependent Physics-Informed Deep Learning Framework with Constraint-Centric Theory of Functional Connections for Rainfall Nowcasting [PDF]
Scientific ReportsAccurate precipitation nowcasting is crucial for mitigating the impacts of extreme weather, especially as climate change increases their frequency and severity.
Khang Ta Gia +3 more
doaj +2 more sources
The Journal of Computational Finance, 2021 his article has been accepted for publication in Journal of Computational Finance, publishedby Incisive Media ...
Chataigner, Marc +2 more
openaire +3 more sources
Nowcasting of rainfall based on extrapolation and evolution algorithms. Preliminary results [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2018 Forecasts from nowcasting models are increasingly becoming a crucial input to the rainfall-runoff models. A basic approach to the nowcast generation is based on extrapolation (advection) of current precipitation field.
Mateusz Giszterowicz +2 more
doaj +1 more source
A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform [PDF]
Hydrology and Earth System Sciences, 2017 In this paper we present a non-stationary stochastic generator for radar rainfall fields based on the short-space Fourier transform (SSFT). The statistical properties of rainfall fields often exhibit significant spatial heterogeneity due to ...
D. Nerini +6 more
doaj +1 more source
npj Climate and Atmospheric Science, 2023 The behaviour of severe thunderstorms, particularly supercells, in complex terrain is still poorly understood. Utilising 6 years of radar-, lightning- and radiosounding-based thunderstorm data in the domain of the Swiss radar network, we study different ...
Monika Feldmann +3 more
doaj +1 more source
SSRN Electronic Journal, 2013 info:eu-repo/semantics ...
Luciani, Matteo, Ricci, Lorenzo
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Deep photovoltaic nowcasting [PDF]
Solar Energy, 2018 28 pages, 10 figure, 4 tables, preprint accepted to Solar ...
Jinsong Zhang +3 more
openaire +2 more sources
A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Fine-scale wind field nowcasting is of great significance in air traffic management, power grid operation, and so on. In this article, an indirect wind field nowcasting scheme based on lidar observation is presented, which contains an encoder-forecaster ...
Hang Gao +7 more
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